(upbeat music) - [Narrator] Is there a difference between machine learning and neural networks? - So one of the base ways to think about neural networks, machine learning, A.I., is actually, neural networks is one of the many tool kits that are in there of how to actually solve a problem. The current place where you see neural networks being used the most is in this idea of deep learning. It's that you can create a neural network that interacts with lots and lots of data, lots of training data. And it has a number of other properties, that get much more technical like back propagation, and other things. And that allows you to really say, oh, here's how it actually has, what we typically refer to as lift, benefit in the algorithm. But, there's lots of other things. And there's these ideas of what are typically referred to as supervised learning, unsupervised learning, and so many broad based techniques. And the beauty of this is there's so many great techniques that are out there that have different uses in different times. Logistic regression to random forest, (laughing) you name it. There's a collection of these. And these are all different approaches to figure out how to actually find some type of function that optimizes against some type of constraint. And so, the way to think about that is, what you have is a training set. And you want to say these are the good things, I want you to say yes against that. And these are the bad things, I want you to ignore those. (upbeat music)
Skill Level Intermediate
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